I already have a working browser-based yoga pose detector on GitHub and I’d like to see it running smoothly as a standalone Android application. You’ll receive the full repository, including the trained model and all current logic; the task is purely to wrap what’s there into a clean, low-latency mobile experience. Target platform is Android. I prefer React Native so I can keep one JavaScript codebase, but if you feel native modules or Kotlin bridges are necessary for camera performance and TensorFlow Lite / Mediapipe integration, I’m open to your recommendations. Core flow: • Open the app, activate the rear or front camera, and stream keypoints in real time. • Display the detected pose name and confidence score on screen. • Give immediate verbal or on-screen cues such as “Correct pose” or “Adjust your arm,” based on the thresholds already defined in my code. • Keep the UI minimal—just the camera feed, pose label, confidence, and feedback overlay. The build must run reliably on standard mid-range Android devices with minimal latency. When you’re done, I need: • Signed APK for quick installation and testing • Complete source code with clear comments • A concise README covering setup, build commands, and any extra libraries or native modules you added Timeline is 7-10 days, and I’m flexible on compensation proportional to the efficiency and polish you deliver. If you’ve shipped React Native apps that use the device camera, TensorFlow Lite, or Mediapipe before, you’ll feel right at home here—let’s talk!